Job Overview
Location
Remote
Job Type
Full-time
Category
Data Scientist
Date Posted
February 22, 2026
Full Job Description
đź“‹ Description
- • Embark on a pivotal role as a Mathematical Modeling Expert with Toloka AI, a leading platform connecting specialists with cutting-edge AI projects for top-tier technology companies. In this freelance, remote position, you will be instrumental in the crucial process of testing, evaluating, and refining sophisticated AI systems. Your expertise will directly contribute to the advancement and reliability of artificial intelligence, shaping the future of technology.
- • As a Mathematical Modeling Expert, you will dive deep into the intricacies of AI algorithms, applying your robust mathematical and statistical knowledge to dissect their performance. This involves a comprehensive understanding of how models learn, predict, and make decisions, enabling you to identify subtle biases, inaccuracies, and areas for improvement. Your work will be foundational in ensuring that AI systems are not only functional but also fair, ethical, and highly effective.
- • Your primary responsibility will be to engage in rigorous testing and evaluation of AI models. This will involve designing and executing test cases that probe the limits of AI capabilities, simulating real-world scenarios to uncover potential weaknesses. You will meticulously analyze the outputs of these tests, looking for patterns, anomalies, and deviations from expected behavior. This analytical rigor is paramount to providing actionable feedback that drives model enhancement.
- • A significant part of your role will involve developing and implementing mathematical models to represent and understand AI system behavior. You will leverage your proficiency in Python to build tools and scripts for data analysis, model simulation, and performance measurement. This hands-on coding will be essential for translating theoretical concepts into practical evaluations and for creating reproducible testing methodologies.
- • You will be tasked with evaluating the accuracy, robustness, and fairness of various AI models, including but not limited to machine learning algorithms, natural language processing (NLP) models, and computer vision systems. This requires a keen eye for detail and a deep understanding of the underlying mathematical principles governing these technologies.
- • Your contributions will extend to providing detailed reports and insights to AI development teams. You will articulate your findings clearly and concisely, using data-driven evidence to support your recommendations. This communication aspect is vital, as your evaluations will directly inform the next steps in the AI development lifecycle.
- • You will collaborate with project managers and AI researchers to understand project objectives and specific evaluation criteria. This collaborative approach ensures that your efforts are aligned with the broader goals of the project and that your expertise is utilized to its fullest potential.
- • The nature of this role is project-based, offering flexibility and the opportunity to work on diverse AI challenges. Each project will present unique opportunities to apply your mathematical modeling skills to novel problems, expanding your experience and deepening your understanding of the AI landscape.
- • You will be expected to stay abreast of the latest advancements in mathematical modeling, AI, and machine learning. Continuous learning is a cornerstone of this role, ensuring that you remain at the forefront of the field and can bring the most current and effective methodologies to your evaluations.
- • This freelance position offers the chance to contribute to groundbreaking AI research and development without the constraints of a traditional full-time role. You will have the autonomy to manage your workload and select projects that align with your interests and expertise, making it an ideal opportunity for seasoned professionals seeking impactful, flexible work.
- • Your ability to translate complex mathematical concepts into understandable explanations will be crucial when interacting with diverse teams. This role demands not only technical prowess but also strong communication skills to effectively convey the nuances of AI model performance and potential improvements.
- • Ultimately, your work as a Mathematical Modeling Expert will directly influence the quality, reliability, and ethical deployment of AI technologies. You will be a key player in building trust in AI systems and ensuring they serve humanity effectively and responsibly.
🎯 Requirements
- • Proven expertise in mathematical modeling and statistical analysis, with a strong theoretical foundation.
- • Proficiency in Python for data analysis, simulation, and model evaluation.
- • Experience in testing, evaluating, and improving AI or machine learning models.
- • Strong analytical and problem-solving skills, with meticulous attention to detail.
- • Excellent written and verbal communication skills in English, with the ability to articulate complex technical concepts clearly.
🏖️ Benefits
- • Flexible, remote freelance work opportunities.
- • Opportunity to work on cutting-edge AI projects with leading tech companies.
- • Competitive compensation based on project scope and your expertise.
- • Gain diverse experience across various AI domains and technologies.
- • Contribute to the advancement of responsible and ethical AI development.
Skills & Technologies
Python
Remote
About Toloka AI, Inc.
Toloka AI, Inc. operates a global data-labeling and human-in-the-loop platform that combines machine learning with crowdsourced human intelligence to generate high-quality training data for computer vision, NLP, search, and other AI applications. The company offers scalable annotation workflows, quality control systems, and expert taskers across 100+ countries to help enterprises and research teams accelerate model development and improve accuracy. Founded in 2014 and headquartered in Amsterdam, Toloka serves technology giants and startups in e-commerce, autonomous vehicles, finance, and healthcare sectors.
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